ANALISIS PENERIMAAN ASISTEN VIRTUAL BERBASIS AI VERONIKA PADA MYTELKOMSEL MENGGUNAKAN MODEL TAM

Authors

  • Lingga Dwi Al Farizi UPN "Veteran" Jawa Timur
  • M Ahnaf Zaki UPN "Veteran" Jawa Timur
  • M Ikhlasul Amal Akbar UPN "Veteran" Jawa Timur

DOI:

https://doi.org/10.36002/jutik.v12i2.4002

Keywords:

Virtual Assistant, Veronika, MyTelkomsel, TAM, AI

Abstract

The telecommunications sector is one of the many industries that have adopted artificial intelligence (AI) technology, which is currently developing at an accelerated rate.  One of its uses is chatbot-based virtual assistant services, such the MyTelkomsel app's Veronika function, which attempts to improve productivity and customer satisfaction through digital means.  The purpose of this study is to apply the Technology adoption Model (TAM) to examine the variables affecting users' adoption of the Veronika virtual assistant.  Three primary variables are used in this model: Attitude Toward Using (ATU), Perceived Utility (PU), and Perceived Ease of Use (PEOU).  MyTelkomsel users who have previously used the Veronika feature are given questionnaires as part of a quantitative research approach. These users were chosen using a straightforward random selection procedure.  Using phases of validity testing, reliability testing, and hypothesis testing, SmartPLS software was used to analyze the data.  The findings of the study demonstrate that Attitude Toward Using is positively and significantly impacted by the variables Perceived Ease of Use and Perceived Usefulness.  These two factors can account for 11.4% of the variation in user opinions regarding the use of the Veronika virtual assistant, according to the R-square value of 0.114.  Both elements contribute significantly to the development of consumers' favorable attitudes, despite their comparatively little roles.  It is anticipated that this research will be used as a guide for future advancements in AI customer support.

References

[1] A. C. Wardhana dan G. F. Fitriana, “Perancangan aplikasi pengukuran tingkat kesiapan inovasi menggunakan user experience lifecycle,” Teknologi, vol. 11, no. 1, hlm. 34–45, 2021, doi: 10.26594/teknologi.v11i1.2067.

[2] W. Sardjono, W. Priatna, dan M. Tohir, “Artificial Intelligence as the Catalyst of Digital Payments in the Revolution Industry 4.0,” 2021, 09. doi: 10.24507/icicelb.12.09.857.

[3] D. T. Lareh, Sholikhah, dan N. Krissanya, “Analysis Of User Satisfaction With The Veronika Digital Chatbot Service On The My Telkomsel Application,” J. Ekon. Manaj. Dan Akunt., vol. 3, no. 5, hlm. 393–401, 2025.

[4] I. N. Y. A. Wijaya dan I. P. K. Negara, “Analisis Pengaruh Penerimaan Pengguna E-Learning (Schoology) Pada Mahasiswa Menggunakan Metode TAM (Studi Kasus STMIK Primakara),” J. Teknol. Inf. Dan Komput., vol. 7, no. 1, 2021, doi: 10.36002/jutik.v7i1.1298.

[5] R. Sabila, A. Pratama, dan E. M. Safitri, “Evaluation Virtual Assistant Chatbot Acceptance with an Unified Technology Acceptance and Use of Technology-Based Model,” J. Inf. Syst. Inform., vol. 6, no. 2, hlm. 919–936, 2024, doi: 10.51519/journalisi.v6i2.744.

[6] M. Nofita dan D. Sebastian, “Technology Acceptance Models pada Teknologi Digital: Survey Paper,” Konvergensi Teknol. Dan Sist. Inf., vol. 2, no. 2, 2022, doi: 10.24002/konstelasi.v2i2.5347.

[7] S. R. Wicaksono, Teori Dasar Technology Acceptance Model, 1 ed. CV. Seribu Bintang, 2022.

[8] J. Syahada, “Penerapan Teori Technology Acceptance Model (TAM) Di Rumah Sakit,” J. Hosp. Adm. Manaj., vol. 2, no. 2, 2021.

[9] R. A.Siroj dan Fatimah, “Metode Penelitian Kuantitatif Pendekatan Ilmiah Untuk Analisis Data,” J. Rev. Pendidik. Dan Pengajaran, vol. 7, no. 3, hlm. 11279–11289, 2024.

[10] Arif Setia Sandi A., B. Soedijono, dan A. Nasiri, “Pengaruh Perceived Usefulness dan Perceived Ease of Use Terhadap Attitude Toward Using Dengan Metode TAM Pada Sistem Informasi Magang Kerja,” IT J. Res. Dev., vol. 5, no. 2, hlm. 109–118, Agu 2020, doi: 10.25299/itjrd.2021.vol5(2).5287.

[11] A. Ghimire dan J. Edwards, “Generative AI Adoption in Classroom in Context of Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT),” 2024. doi: 10.48550/arXiv.2406.15360.

[12] S. Nagy dan N. Hajdu, “Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence From Hungary,” Amfiteatru Econ., vol. 23, no. 56, hlm. 155, 2021, doi: 10.24818/EA/2021/56/155.

[13] N. F. Amin, S. Garancang, dan K. Abunawas, “Konsep Umum Populasi Dan Sampel Dalam Penelitian,” J. Kaji. Islam Kontemporer, vol. 14, no. 1, 2023.

[14] “MyTelkomsel Hadir Sebagai Super App yang memberikan Kemudahan Transaksi dan Tingkatkan Gaya Hidup Digital Pelanggan,” Telkomsel. Diakses: 18 Maret 2025. [Daring]. Tersedia pada: https://www.telkomsel.com/jelajah/jelajah-lifestyle/mytelkomsel-hadir-sebagai-super-app-yang-memberikan-kemudahan-transaksi-dan-tingkatkan-gaya-hidup-digital-pelanggan

[15] N. I. Majdina, B. Pratikno, dan A. Tripena, “Penentuan Ukuran Sampel Menggunakan Rumus Bernoulli Dan Slovin: Konsep dan Aplikasinya,” J. Ilm. Mat. Dan Pendidik. Mat., vol. 16, no. 1, hlm. 73, 2024, doi: 10.20884/1.jmp.2024.16.1.11230.

[16] B. Antoro, “Analisis Penerapan Formula Slovin Dalam Penelitian Ilmiah: Kelebihan, Kelemahan, Dan Kesalahan Dalam Perspektif Statistik,” J. Multidisiplin Sos. Dan Hum., vol. 1, no. 2, hlm. 53–63, 2024, doi: 10.70585/jmsh.v1i2.38.

[17] S. Al Ayyubi, N. Galuh, B. Utomo, C. Ayu, F. Dwiputra, dan T. L. M. Suryanto, “Analisis Penerimaan Ditlantas Jatim Digital Center Menggunakan Metode Technology Acceptance Model (TAM),” J. Inf. Syst. Artif. Intell., vol. 3, no. 1, hlm. 23–30, 2022, doi: 10.26486/jisai.v3i1.83.

[18] V. Venkatesh dan F. D. Davis, “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies”.

[19] F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Q., vol. 13, no. 3, hlm. 319, doi: 10.2307/249008.

[20] M. L. Barreto, A. Szóstek, E. Karapanos, N. J. Nunes, L. Pereira, dan F. Quintal, “Understanding families’ motivations for sustainable behaviors”.

[21] Kokila, R. Jain, A. Munde, dan Z. A. Ansari, “Determinants of Adoption of Mobile Health Applications: A Machine Learning Approach,” Procedia Comput. Sci., vol. 235, hlm. 1568–1576, 2024, doi: 10.1016/j.procs.2024.04.148.

[22] M. E. Oematan, S. Rahayu, dan J. Dyah, “The Effect of Perceived Usefulness and Perceived Ease of Use n Behavioral Intention Mediated by User Satisfaction in ECommerce Users,” J. Ekon., vol. 13, no. 01, 2024.

Downloads

Published

2026-10-10

How to Cite

Lingga Dwi Al Farizi, M Ahnaf Zaki, & M Ikhlasul Amal Akbar. (2026). ANALISIS PENERIMAAN ASISTEN VIRTUAL BERBASIS AI VERONIKA PADA MYTELKOMSEL MENGGUNAKAN MODEL TAM. Jurnal Teknologi Informasi Dan Komputer, 12(2), 184–194. https://doi.org/10.36002/jutik.v12i2.4002

Similar Articles

<< < 1 2 

You may also start an advanced similarity search for this article.